Tom Knowles is a Senior Software Engineer in Mountain View with nine years of experience building research infrastructure and applied ML systems. He moves fluidly between research and production, having contributed to meta-learning research at Stanford (co-author on ICLR papers) and shipping simulation, sensor, and ML infra at startups like Aurora, ReSim.ai, and Windsurf. Currently at Google DeepMind, he focuses on tooling and infrastructure that accelerates ML experimentation and deployment. His background in mathematics and an MS in CS from Stanford underpins a strong applied-math approach to engineering problems, from physically based rendering to transformer-based NLP. Not obvious from titles alone: he’s often been an early technical hire shaping core infra (employee #6–25 at multiple startups) and enjoys applying principled research techniques to pragmatic system design.
9 years of coding experience
6 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at Stanford University
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Tom Knowles - Senior Software Engineer at Google DeepMind